Causal

Causal

Member of Technical Staff — Product Engineering

San Francisco · Staff+

Sponsorship not specifiedDetected 1 day ago
AWSGCPAzureCloud PlatformsDockerKubernetesTerraformMachine LearningIncident ResponseRoboticsResearchProblem Solving

About the role

  • Our founding team has built and deployed AI against the physical world in robotics, drug discovery, and particle physics at institutions like DeepMind, Waymo, Cruise, Insitro, Nabla Bio, and CERN.
  • We look for software engineers who are excited to tackle unsolved problems.

Responsibilities

  • Design and build the full product surface: backend APIs and data delivery, integration patterns, and frontend dashboards and visualizations that make predictions actionable
  • Own the packaging, security, observability, and upgrade machinery to deploy our product into customer environments - cloud, VPC, on-prem, and restricted networks
  • Design the tooling and playbooks that let solutions built for one customer generalize to the next
  • Owns deliverables end-to-end, from requirements through autonomous execution

Requirements

  • We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains.
  • We believe that scaling on physics will enable an understanding of causality required to predict and control physical systems, starting with weather.

Skills

  • Experience deploying and operating ML systems in production, ideally across diverse or customer-controlled environments
  • Familiarity with containerization, orchestration, and infrastructure-as-code (e.g. Kubernetes, Docker, Terraform)

Company info

  • Background in scalable model serving & deployment architectures and the systems around them
  • Build and operate the production systems that deliver model predictions to customers around hard real-time deadlines - owning reliability end to end, from cost efficiency to monitoring, alerting, and incident response
  • Create product demos and prototypes with and for prospective customers, iterating rapidly alongside go-to-market
  • What we're looking for
  • Comfort working directly with customers: scoping ambiguous problems, building demos under time pressure, and representing the company technically
Apply directly at Causal →Create a free account for alerts like thisView Causal immigration profile

This listing is sourced directly from Causal's careers page and normalized into a canonical job model.